social feed manager           dchud @ gwu edu Access 2012 Montreal October 19 2012
how do researchersstudy social media?
by hand.
•google reader• copy and paste• fold, spindle, mutilate• excel• ...eventually, SPSS or equiv
whatever    helpthey can get
it’s a lot of workfor not a lot of data
(1000s of tweets)
research opportunities         are       endless
colldev opportunities         are       endless
copy and paste        to excel      doesn’t scalejust ask any student assigned to do this!
options?
Twitter-licenseddata providers:    DataSift     Gnip     Topsy
what we’ve learned •friendly • not cheap • more than we need • expensive • still need tools to  collect, process, etc.
what researchers ask for  • specific users, keywords  • historic time periods  • basic values: user, date, text,    counts ...
we can do some of this         free     w/public API
some we’ll have   to buy
twitter api• user timelines: up to 3200,    plus new•   public streams: follow, track,    geo, up to 3000/minute• search
user timelines
public streams
search
social-feed-manager•   python/django• user timelines, filter,    sample, search•   simple display / export    for user time...
does thingswe can do
what about...•   older data for    busy users• historic events• keywords over    time
$$$$today
...so start collecting         today
github.com /   gwu-libraries / social-feed-manager@dchud || @liblaura
20121018 Access "social feed manager"
20121018 Access "social feed manager"
20121018 Access "social feed manager"
20121018 Access "social feed manager"
20121018 Access "social feed manager"
20121018 Access "social feed manager"
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20121018 Access "social feed manager"

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Slides from the brief talk I gave on the app we're developing at GW Libraries in Washington DC to help campus researchers study data from social media services like Twitter.

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20121018 Access "social feed manager"

  1. 1. social feed manager dchud @ gwu edu Access 2012 Montreal October 19 2012
  2. 2. how do researchersstudy social media?
  3. 3. by hand.
  4. 4. •google reader• copy and paste• fold, spindle, mutilate• excel• ...eventually, SPSS or equiv
  5. 5. whatever helpthey can get
  6. 6. it’s a lot of workfor not a lot of data
  7. 7. (1000s of tweets)
  8. 8. research opportunities are endless
  9. 9. colldev opportunities are endless
  10. 10. copy and paste to excel doesn’t scalejust ask any student assigned to do this!
  11. 11. options?
  12. 12. Twitter-licenseddata providers: DataSift Gnip Topsy
  13. 13. what we’ve learned •friendly • not cheap • more than we need • expensive • still need tools to collect, process, etc.
  14. 14. what researchers ask for • specific users, keywords • historic time periods • basic values: user, date, text, counts • 1000s, not 10000000s • delimited files to import
  15. 15. we can do some of this free w/public API
  16. 16. some we’ll have to buy
  17. 17. twitter api• user timelines: up to 3200, plus new• public streams: follow, track, geo, up to 3000/minute• search
  18. 18. user timelines
  19. 19. public streams
  20. 20. search
  21. 21. social-feed-manager• python/django• user timelines, filter, sample, search• simple display / export for user timelines• free software, on github
  22. 22. does thingswe can do
  23. 23. what about...• older data for busy users• historic events• keywords over time
  24. 24. $$$$today
  25. 25. ...so start collecting today
  26. 26. github.com / gwu-libraries / social-feed-manager@dchud || @liblaura

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